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Benchmark Methodologies
// Enterprise
{ name: "Microsoft Agent Framework", url: "https://azure.microsoft.com/en-us/products/ai-agent-service/", philosophy: "Unified, Type-Safe", prof: "High", setup: "Medium-Hard", deploy: "Azure Cloud", usecase: "Auditable finance/enterprise systems.", observ: "High", cost: "Azure", category: "enterprise" },
{ name: "Vertex AI Agents", url: "https://cloud.google.com/products/agent-builder", philosophy: "Managed Grounding", prof: "Medium (Cloud Eng)", setup: "Medium", deploy: "Google Cloud", usecase: "Enterprise search & support bots.", observ: "High", cost: "Paid", category: "enterprise" },
+ { name: "AxonFlow", url: "https://github.com/getaxonflow/axonflow", philosophy: "Inline Control Plane", prof: "Medium-High (Platform Eng)", setup: "Medium", deploy: "Self-Hosted", usecase: "Policy enforcement, audit, HITL intervention for agent workflows.", observ: "Very High", cost: "Source-Avail (BSL)", category: "enterprise" },
// Benchmarking Tools
{ name: "AgentOps", url: "https://agentops.ai/", philosophy: "Session Replay & Metrics", prof: "Low-Medium", setup: "Easy (SDK)", deploy: "SaaS", usecase: "Debugging agent sessions, cost tracking, success rate.", observ: "Very High", cost: "Freemium", category: "benchmark-tool" },